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Land Use and Land Cover (LULC)

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  • Collection Overview
  • Data Sets (6)
    • Central American Vegetation/Land Cover Classification and Conservation Status, v1 (1992 – 1993)
    • Development Threat Index, v1 (2015)
    • Global Development Potential Indices, v1 (2016)
    • Global Grid of Probabilities of Urban Expansion to 2030, v1 (2000 – 2030)
    • Global Human Modification of Terrestrial Systems, v1 (2016)
    • Global Mangrove Forests Distribution, v1 (2000)
  • Map Gallery (29)
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Central American Vegetation/Land Cover Classification and Conservation Status, v1 (1992 – 1993)

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Purpose:
To identify remaining natural vegetation types in Central America.
Abstract:
The Central American Vegetation/Land Cover Classification and Conservation Status consists of GIS coverages of vegetation classes (forests, woodlands, savannas, shrubs, grasslands, wetlands, rocks, sand, soils, inland waters, parks and reserves) for Central America, derived from 1-kilometer resolution Advanced Very High Resolution Radiometer (AVHRR) imagery. This data set is produced by Proyecto Ambiental Regional de Centroamerica/Central America Protected Areas Systems (PROARCA/CAPAS), a conservation partnership of the Central American Commission on Environment and Development (CCAD), U.S. Agency for International Development (USAID), International Resources Group, Ltd. (IRG), The Nature Conservancy (TNC), Winrock International (WI), and is distributed by the Columbia University Center for International Earth Science Information Network (CIESIN).
Recommended Citation(s)*:

Central American Commission on Environment and Development - CCAD, U.S. Agency for International Development - USAID, International Resources Group Ltd. - IRG, The Nature Conservancy - TNC, and Winrock International - WI. 1998. Central American Vegetation/Land Cover Classification and Conservation Status. Palisades, New York: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4W37T87. Accessed DAY MONTH YEAR.

ENW (EndNote & RefWorks)†
RIS (Others)

* When authors make use of data they should cite both the data set and the scientific publication, if available. Such a practice gives credit to data set producers and advances principles of transparency and reproducibility. Please visit the data citations page for details. Users who would like to choose to format the citation(s) for this dataset using a myriad of alternate styles can copy the DOI number and paste it into Crosscite's website.

† For EndNote users, please check the Research Note field for issues with importing authors that are organizations when using the ENW file format.

Available Formats:
raster, vector

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